Computer-vision Libraries

Clips AI is an open-source Python library that automatically converts long videos into clips. With just a few lines of code, you can segment a video into multiple clips and resize its aspect ratio fr…

You can run Inference on an edge device like an NVIDIA Jetson, or on cloud computing platforms like AWS, GCP, and Azure. Currently, the stream interface only supports object detection Check out Infer…

Pipeless is inspired by modern serverless technologies. You provide some functions and Pipeless takes care of executing them for new video frames and everything involved. With Pipeless you create se…

The LandingLens Python API library contains the LandingLens development library and examples that show how to integrate your app with LandingLens in a variety of scenarios. The examples cover differe…

Sign language consists of gestures and expressions used mainly by the hearing-impaired to talk. This project is an effort to bridge the communication gap between the hearing and the hearing-impaired …

While the platform offers a high-level overview and visualization of your data, the SDK affords you the flexibility to integrate into your favorite machine learning frameworks and environments (e.g. …

With the creation of a whole new field called "Generative AI", whether you like the term or not, research hasn't slowed its frenetic pace, especially the industry, which has seen its biggest boom in …

AI technology is significants because it allows softwares to do human functions—understanding, reasoning, planning, communication, and perception—increasingly effectively, efficiently, and affordably…

The primary goal of this library is to empower machine learning teams to log images and predictions, ensuring their computer vision models are working as intended. Without proper monitoring, small is…

The output of the previous code is:                              

A python bot used to play a game using computer vision and image processing techniques. The bot is able to play the game without any human intervention. It managed to make me a millionaire in the gam…

SORDI dataset has per frame annotation file in json format. Following tools create a COCO style annotation out of it. Thus the SORDI data can be easily fed into COCO style training pipelines. Sample …

Use Encord Active to visualize your data, evaluate your models, surface model failure modes, find labeling mistakes, prioritize high-value data for re-labeling and more! Encord Active helps you under…

There are two main reasons for doing this project. In the last couple of years, the pub quiz scene in Serbia has seen a rise in popularity. After doing a bit of research and after competing myself in…

Lance is a modern columnar data format that is optimized for ML workflows and datasets. Lance is perfect for: The key features of Lance include: Download the sift1m subset Convert it to Lance Build …

Lance is a modern columnar data format that is optimized for ML workflows and datasets. Lance is perfect for: The key features of Lance include: Download the sift1m subset Convert it to Lance Build …

Both programs require a recent and powerful Nvidia GPU to run. I could personally ran them at good speed with the Nvidia Titan RTX. However, I think recent high-end gaming GPUs such as the RTX 2080, …

For the computer vision experiments, run This will install all dependencies for the vision experiments.

To train the model, use the following command: The main arguments are as follows: To valid the model, use the following command: To generate testing outputs, use the following command: The main argum…

A Python package for fast and robust Image Stitching. Or use the Stitcher class in your script Specify your custom settings as You can e.g. visualize the RANSAC matches between the images or the seam…

A Python package for fast and robust Image Stitching. You can use the CLI as described above (read "current directory" as "/data directory") You can also use the Stitcher class in your script Specify…

⭐ Star us on GitHub — it motivates us a lot and helps the project become more visible to developers. Savant is an open-source, high-level framework for building real-time, streaming, highly efficient…

Use one of our logging APIs (Python or Rust) to log rich data, such as images and point clouds, to the Rerun Viewer, where it is visualized live or after the fact. Some shortcomings: Rerun uses an op…

The following settings are adjustable: You can now run the application with the run.[sh|bat] file. In the result view, you can see the result of your montage. Every contribution is welcome. Then to i…

    Here are some key features that stand out:     As a user, you just have to remember only two DeFFcode APIs, namely:     We're happy to meet new contributors💗     It is something I am doing with m…

For instruction on how to runs things locally, see the "Local development setup" section below. In this stage, we'll be performing all our model experiments: work on data preprocessing, change model …

Image Stitching algorithm with multi-panoramas, gain compensation, simple blending, and multi-band blending. Part of a project for the Computer Vision course of CentraleSupélec. Simply put all your i…